Ce Liu Google Scholar: h-index, Total Citations, and Citation Map
Ce Liu's h-index is 72 (111 i10-index, 61,101+ total citations across 177+ publications) according to Google Scholar as of October 2026. Ce Liu is affiliated with Senior Director of AI, CMT; IEEE Fellow.
Ce Liu is a researcher affiliated with Senior Director of AI, CMT; IEEE Fellow, specializing in Foundation models, GenAI, computer vision. Their work has been cited 61,101 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Ce Liu's Citation Metrics
Bibliometric impact based on 177 indexed publications.
- H-Index
- 72
- i10-Index
- 111
- Total Citations
- 61,101
- Citing Countries
- 79
As of October 2026.
Ce Liu has an h-index of 72 and 61,101 total citations across 177 publications, with research cited by institutions in 79 countries.
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Global Impact Map
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The llama 3 herd of models
202418,950
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
568 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher pioneered supervised contrastive learning, establishing a foundational framework for representation learning that has been extensively adopted and extended by the independent research community.
The researcher pioneered nonparametric scene parsing and dense correspondence methods, establishing foundational techniques for label transfer and cross-scene alignment that significantly advanced computer vision.
The researcher pioneered Bayesian methods for adaptive video super-resolution, extending foundational work on single-image noise estimation to address complex temporal reconstruction challenges.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Ce Liu's research
Ce Liu is a researcher in Foundation models, GenAI and computer vision at Senior Director of AI, CMT; IEEE Fellow. Their work has been cited 61,101 times across 177 publications (h-index 72), according to Google Scholar.
Their most-cited work, “The llama 3 herd of models” (2024), has accumulated 18,950 citations. Other influential works include “The llama 3 herd of models” (2024) with 16,328 citations and “Supervised contrastive learning” (2020) with 9,196 citations.
Citations of Ce Liu's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
